Frobenius norm-regularized robust graph learning for multi-view subspace clustering-Reference-Cited by-同舟云学术

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Frobenius norm-regularized robust graph learning for multi-view subspace clustering

Published:2022-06-29 Issue:13 Volume:52 Page:14935-14948
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Shuqin,Chen Yongyong^ORCID,Yi Shuang,Chao Guoqing

Funder

national natural science foundation of china

National Natural Science Foundation of China

Chongqing Technology Innovation and Application Demonstration Project

Guangdong Natural Science Foundation

Shenzhen College Stability Support Plan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03816-6.pdf

Reference55 articles.

1. Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15(6):1373–1396

2. Boyd S, Parikh N, Chu E, Peleato B, Eckstein J, et al. (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends®; in Machine learning 3(1):1–122

3. Brbić M, Kopriva I (2020) l0-motivated low-rank sparse subspace clustering. IEEE Trans Cybern 50(4):1711–1725

4. Cao X, Zhang C, Fu H, Liu S, Zhang H (2015) Diversity-induced multi-view subspace clustering. In: Proc IEEE conf Comput Vis Pattern recognit, pp 586–594

5. Chao G (2018) Discriminative k-means laplacian clustering. Neural Process Lett, pp 1–13

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